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» The Generalized Dimensionality Reduction Problem
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BMCBI
2004
125views more  BMCBI 2004»
13 years 10 months ago
A functional hierarchical organization of the protein sequence space
Background: It is a major challenge of computational biology to provide a comprehensive functional classification of all known proteins. Most existing methods seek recurrent patte...
Noam Kaplan, Moriah Friedlich, Menachem Fromer, Mi...
ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 10 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
CODES
2010
IEEE
13 years 9 months ago
Automatic parallelization of embedded software using hierarchical task graphs and integer linear programming
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Daniel Cordes, Peter Marwedel, Arindam Mallik
COMPGEOM
2009
ACM
13 years 8 months ago
Geometric tomography: a limited-view approach for computed tomography
Computed tomography(CT), especially since the introduction of helical CT, provides excellent visualization of the internal organs of the body. As a result, CT is used routinely in...
Peter B. Noël, Jinhui Xu, Kenneth R. Hoffmann...
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 8 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell